Become a Machine Learning Engineer
Learn advanced machine learning techniques and algorithms -- including how to package and deploy your models to a production environment.
Created by: Cezanne Camacho
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Course Description
Machine Learning Engineer
Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.
This program is intended for students who already have knowledge of machine learning algorithms.
Learn advanced machine learning deployment techniques and software engineering best practices.
Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.
This program is intended for students who already have knowledge of machine learning algorithms.
Learn advanced machine learning deployment techniques and software engineering best practices.
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Cezanne Camacho
Cezanne is a machine learning educator with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she's applied machine learning to medical diagnostic applications.
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Time: 19h
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